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Software Engineer

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Senior Software Engineer

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Senior Software Engineer II - Data Onboarding & Reporting

Requirements

  • Data Lakehouse Mastery: Proven experience building data infrastructure using Trino / Presto and open table formats like Apache Iceberg or Delta Lake.
  • Advanced Data Modeling: Deep expertise in Medallion Architecture patterns, Star Schemas, and processing semi-structured financial data logs (JSON/Avro).
  • Robust ETL/ELT Orchestration: Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow).
  • Stream/Message Queues: Solid understanding of event-driven architectures and streaming processing via Apache Kafka.
  • Strong Programming Foundations: Proficiency in Python, SQL, or an Object-Oriented language (Java/Scala).

Nice to Haves

  • Experience operating data assets within a regulated SOX/PCAOB compliance environment.
  • Familiarity with cloud data warehouses (e.g., Snowflake) and cloud compute orchestration.
  • Prior domain exposure to financial flows, double-entry ledger systems, or accounting integrations.

What You'll Be Doing

  • Lakehouse Architecture: Design, build, and optimize robust end-to-end data pipelines on top of our Trino + Iceberg Lakehouse stack.
  • Medallion Implementation: Own the extraction, cleaning, and modeling layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics.
  • Stream Processing: Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain our data freshness SLAs.
  • Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance and double-entry validations) to catch data discrepancies before they reach financial reporting layers.
  • Product & Stakeholder Alignment: Partner directly with finance controllers, analysts, product and engineering to turn complex corporate finance needs into production-ready data schemas.
  • Platform Alignment: Address data scaling constraints, structural technical debt, and compute optimizations to directly align infrastructure costs with Wise's financial targets.
  • Upskilling: Assist and coach mid-level/junior engineers within the team, performing thorough code and technical design reviews.

Perks and Benefits

  • The rare opportunity to help engineer the core "Engine of Trust" for a fast-growing global fintech moving billions in cross-border volume.
  • A chance to work beyond isolated data pipelines, building reusable libraries and system-wide framework layers rather than bespoke, one-off fixes.
  • Direct interaction and collaboration with top-tier product minds, data platform engineers, and global financial stakeholders.
  • Starting salary: £111k - £145k + RSUs
AI Summary ✨
Wise logo

Wise

Greater London, UK

Experience: Senior
Posted: July 30, 2026
Last seen: an hour ago
Java
Python
dataengineering

Why we track Wise

Wise (formerly TransferWise) is a London-based fintech that built international money transfers from scratch. They have major engineering hubs in Tallinn, London, and Budapest. The engineering challenges around real-time payments, compliance, and multi-currency infrastructure are technically deep.

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